Publication:
Reactive with tags classifier system applied to real robot navigation

dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Computación Evolutiva y Redes Neuronales (EVANNAI)es
dc.contributor.authorSanchis de Miguel, María Araceli
dc.contributor.authorMolina López, José Manuel
dc.contributor.authorIsasi, Pedro
dc.contributor.authorSegovia, Javier
dc.date.accessioned2009-04-23T09:02:40Z
dc.date.available2009-04-23T09:02:40Z
dc.date.issued1999-10
dc.description7th IEEE International Conference on Emerging Technologies and Factory Automation. Barcelona, 18-21 October 1999.
dc.description.abstractA reactive with tags classifier system (RTCS) is a special classifier system. This system combines the execution capabilities of symbolic systems and the learning capabilities of genetic algorithms. A RTCS is able to learn symbolic rules that allow to generate sequence of actions, chaining rules among different time instants, and react to new environmental situations, considering the last environmental situation to take a decision. The capacity of RTCS to learn good rules has been prove in robotics navigation problem. Results show the suitability of this approximation to the navigation problem and the coherence of extracted rules.
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationThe 7th IEEE International Conference on Emerging Technologies and Factory Automation, 1999. Proceedings. (ETFA '99). vol. 1, p. 63-70
dc.identifier.doi10.1109/ETFA.1999.815339
dc.identifier.isbn0-7803-5670-5
dc.identifier.publicationfirstpage63
dc.identifier.publicationlastpage70
dc.identifier.publicationtitleIEEE International Conference on Emerging Technologies and Factory Automation, 1999. Proceedings. (ETFA '99)
dc.identifier.urihttps://hdl.handle.net/10016/4046
dc.language.isoeng
dc.publisherIEEE
dc.relation.eventdate18-21 October 1999
dc.relation.eventnumber7
dc.relation.eventplaceBarcelona (Spain)
dc.relation.eventtitleIEEE International Conference on Emerging Technologies and Factory Automation
dc.relation.publisherversionhttp://dx.doi.org/10.1109/ETFA.1999.815339
dc.rights© IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.titleReactive with tags classifier system applied to real robot navigation
dc.typeconference paper*
dspace.entity.typePublication
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